import tensorflow as tf
import os
import tarfile
import requests

# 模型地址
inception_pretrain_model_url = 'http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz'

# 存放地址
inception_pretrain_model_dir = "inception_model"
if not os.path.exists(inception_pretrain_model_dir):
    os.makedirs(inception_pretrain_model_dir)

# 获取文件名 路径
filename = inception_pretrain_model_url.split('/')[-1]
filepath = os.path.join(inception_pretrain_model_dir,filename)

# 下载模型
if not os.path.exists(filepath):
    print('download:',filename)
    r = requests.get(inception_pretrain_model_url,stream=True)
    with open(filepath,'wb')as f:
        for chunk in r.iter_content(chunk_size=1024):
            if chunk:
                f.write(chunk)
print('finish:',filename)

# 解压
tarfile.open(filepath,'r:gz').extractall(inception_pretrain_model_dir)

# 模型构架
log_dir = 'inception_log'
if not os.path.exists(log_dir):
    os.makedirs(log_dir)

inception_graph_def_file = os.path.join(inception_pretrain_model_dir,'classify_image_graph_def.pb')
with tf.Session() as sess:
    with tf.gfile.FastGFile(inception_graph_def_file,'rb')as f:
        graph_def = tf.GraphDef()
        graph_def.ParseFromString(f.read())
        tf.import_graph_def(graph_def,name='')
    writer = tf.summary.FileWriter(log_dir,sess.graph)
    writer.close()
